Exact Cardinality Query Optimization with Bounded Execution Cost
Summary: ECQO with bounded probes uses exact cardinalities from probes to prune join plans via partial-relations bounds. Leverages dependencies and info-gain probe selection with cost bounds; non-intrusive atop SQL LIMIT, achieving 6×–69× speedups on join-order benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,638 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB | 0.00011049779 |
| 1,737 | QuickSel: Quick Selectivity Learning with Mixture Models | 2020 | SIGMOD | 0.00010720294 |
| 4,913 | UDO: Universal Database Optimization using Reinforcement Learning | 2021 | VLDB | 5.8316231e-05 |
| 5,423 | Kepler: Robust Learning for Faster Parametric Query Optimization | 2023 | SIGMOD | 5.5130233e-05 |
| 5,622 | Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach | 2020 | SIGMOD | 5.4060403e-05 |
| 5,633 | Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server | 2023 | VLDB | 5.4011156e-05 |
| 6,775 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR | 4.9299192e-05 |
| 7,854 | dbET: Execution Time Distribution-based Plan Selection | 2023 | SIGMOD | 4.6350172e-05 |
| 8,047 | Thrifty Query Execution via Incrementability | 2020 | SIGMOD | 4.5983505e-05 |
| 8,103 | Grep: A Graph Learning Based Database Partitioning System | 2023 | SIGMOD | 4.5852201e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 978 | Rapid Bushy Join-order Optimization with Cartesian Products | 1996 | SIGMOD | 0.00014881073 |
| 5,972 | SafeBound: A Practical System for Generating Cardinality Bounds | 2023 | SIGMOD | 5.2474768e-05 |
| 1,758 | Sampling-Based Query Re-Optimization | 2016 | SIGMOD | 0.00010655546 |
| 3,462 | Efficient and Provable Multi-Query Optimization | 2017 | PODS | 7.0703696e-05 |
| 9,843 | Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints | 2025 | PODS | 4.2721228e-05 |
| 684 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD | 0.00018179769 |
| 629 | Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors | 2009 | VLDB | 0.00018942366 |
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059038975 |
| 8,213 | On the Calculation of Optimality Ranges for Relational Query Execution Plans | 2018 | SIGMOD | 4.557937e-05 |
| 3,952 | Exact Cardinality Query Optimization for Optimizer Testing | 2009 | VLDB | 6.5939652e-05 |